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Minimal, clean, single-file implementations of common robotics controllers in MuJoCo.
AgentHive provides the primitives and helpers for a seamless usage of robohive within TorchRL.
A scene exporter from Blender to the MuJoCo physics engine
A library for differentiable nonlinear optimization
A collection of high-quality models for the MuJoCo physics engine, curated by Google DeepMind.
Multi-Joint dynamics with Contact. A general purpose physics simulator.
MyoSuite is a collection of environments/tasks to be solved by musculoskeletal models simulated with the MuJoCo physics engine and wrapped in the OpenAI gym API.
A collection of LaTeX templates used for research, courses, and miscellanea.
SoftGym is a set of benchmark environments for deformable object manipulation.
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
GrabNet: A Generative model to generate realistic 3D hands grasping unseen objects (ECCV2020)
Collection of reinforcement learning algorithms
Torch implementations of various types of autoencoders
Large dataset of hand-object contact, hand- and object-pose, and 2.9 M RGB-D grasp images.
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
A collection of pre-trained, state-of-the-art models in the ONNX format
LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking
The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Cross-platform, customizable ML solutions for live and streaming media.
AlexeyAB / darknet
Forked from pjreddie/darknetYOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
Reinforcement learning algorithms for MuJoCo tasks
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
Automatically exported from code.google.com/p/v-hacd